1 00:00:01,840 --> 00:00:06,080 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,240 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,160 --> 00:00:21,400 Speaker 2: Armstrong and Getty and now he Armstrong and Yetty. 4 00:00:23,280 --> 00:00:25,200 Speaker 3: For the first time, the average price of a new 5 00:00:25,239 --> 00:00:28,200 Speaker 3: car in the US tops more than fifty thousand dollars. 6 00:00:28,480 --> 00:00:31,200 Speaker 3: That's according to Kelly Blue Book. The average loan rate 7 00:00:31,280 --> 00:00:34,000 Speaker 3: was up to about nine percent in August. Used vehicle 8 00:00:34,000 --> 00:00:36,520 Speaker 3: prices fell slightly as sales began to slow. 9 00:00:36,720 --> 00:00:42,280 Speaker 4: The average new car now is fifty thousand dollars and 10 00:00:42,320 --> 00:00:45,080 Speaker 4: the average loan rate is nine percent. 11 00:00:46,840 --> 00:00:47,120 Speaker 2: Wow. 12 00:00:47,159 --> 00:00:50,640 Speaker 4: That's a different spot than we were in pre COVID. 13 00:00:51,440 --> 00:00:51,879 Speaker 2: Wow. 14 00:00:52,040 --> 00:00:55,640 Speaker 4: Wow, you can buy a car at zero percent financing 15 00:00:55,680 --> 00:00:57,400 Speaker 4: probably and I don't know what the average new car 16 00:00:57,440 --> 00:00:59,200 Speaker 4: price was at that time. It was probably more like 17 00:00:59,320 --> 00:01:04,120 Speaker 4: thirty five or something, right, right, Yeah, nine percent oof. 18 00:01:04,560 --> 00:01:07,520 Speaker 4: And this headline from the Journal, Grocery prices keep rising. 19 00:01:07,600 --> 00:01:11,319 Speaker 4: Frustrated consumers are trying to adapt. Shoppers say they're cutting 20 00:01:11,319 --> 00:01:16,000 Speaker 4: back on purchases, stockpiling, certain foods, are exploring more affordable stores. 21 00:01:16,920 --> 00:01:20,160 Speaker 4: We don't have the recent inflation numbers because that's because 22 00:01:20,200 --> 00:01:21,240 Speaker 4: of the government shut down. 23 00:01:21,319 --> 00:01:24,880 Speaker 2: But yeah, groceries are crazy right now? 24 00:01:25,080 --> 00:01:27,760 Speaker 1: They mentioned now this guy's in I think New York City, 25 00:01:28,280 --> 00:01:31,959 Speaker 1: but he went to buy some steaks and a RIBI 26 00:01:32,160 --> 00:01:34,000 Speaker 1: was thirty two ninety nine pound. 27 00:01:34,440 --> 00:01:35,160 Speaker 2: Yipes. 28 00:01:36,240 --> 00:01:37,959 Speaker 4: I know, I've been amazed when I see some of 29 00:01:37,959 --> 00:01:39,800 Speaker 4: the more expensive steaks at the store and it's in 30 00:01:39,840 --> 00:01:42,320 Speaker 4: the high twenties. I don't usually buy them, But how 31 00:01:42,400 --> 00:01:43,080 Speaker 4: much was that one? 32 00:01:43,840 --> 00:01:45,240 Speaker 2: Thirty two ninety nine pound? 33 00:01:45,280 --> 00:01:45,440 Speaker 1: Who? 34 00:01:46,560 --> 00:01:46,800 Speaker 2: Yeah? 35 00:01:46,840 --> 00:01:48,920 Speaker 1: I mean that's you're going out to a like high 36 00:01:49,000 --> 00:01:52,360 Speaker 1: end steakhouse and I gotta cook it right right? 37 00:01:52,360 --> 00:01:54,800 Speaker 2: Thirty two dollars a pound and I'm cooking it. I 38 00:01:54,800 --> 00:01:57,960 Speaker 2: don't want to think of that. I gotta start raising cattle. 39 00:01:58,280 --> 00:01:59,720 Speaker 2: How would a cow do indoors? 40 00:02:00,480 --> 00:02:02,440 Speaker 1: I probably have to get some area or it likes 41 00:02:02,600 --> 00:02:04,880 Speaker 1: a lot of area rugs to protect the hardwood. 42 00:02:04,920 --> 00:02:06,919 Speaker 2: But I gotta have a count. 43 00:02:07,040 --> 00:02:10,160 Speaker 4: I know the price of groceries isn't what caused the 44 00:02:10,240 --> 00:02:13,120 Speaker 4: Great Depression? But did you happen to see the second 45 00:02:13,160 --> 00:02:17,240 Speaker 4: story on sixty minutes with Andrew Ross Sorkin. He's, you know, 46 00:02:18,200 --> 00:02:22,560 Speaker 4: a well respected financial writer of the left, but they 47 00:02:22,600 --> 00:02:24,519 Speaker 4: featured him. He's getting me skipped it because it looked 48 00:02:24,520 --> 00:02:25,040 Speaker 4: too scary. 49 00:02:25,200 --> 00:02:27,960 Speaker 1: He's got a new book out about nineteen twenty nine, 50 00:02:28,560 --> 00:02:34,880 Speaker 1: and so he's got some reason selling his book about 51 00:02:34,880 --> 00:02:36,880 Speaker 1: the Great Depression and the Great crash that caused the 52 00:02:36,919 --> 00:02:41,840 Speaker 1: Great Depression, you know, to to talk about these times 53 00:02:41,880 --> 00:02:44,799 Speaker 1: are similar to those, because he's it's a great hook. Yeah, 54 00:02:44,800 --> 00:02:48,000 Speaker 1: it's a great hook to get on various shows and 55 00:02:48,400 --> 00:02:51,320 Speaker 1: talk about his book. But he was going through a 56 00:02:51,320 --> 00:02:53,360 Speaker 1: lot of the things that we were discussing last week. 57 00:02:53,600 --> 00:02:57,280 Speaker 1: You know, the whenever you're setting a record in the 58 00:02:57,280 --> 00:03:00,840 Speaker 1: stock mart every single day, it's always you know, probably 59 00:03:00,840 --> 00:03:04,239 Speaker 1: a correction company. And then you got like five companies 60 00:03:04,320 --> 00:03:07,720 Speaker 1: are all responsible for it. Then you got people maxing 61 00:03:07,760 --> 00:03:12,760 Speaker 1: out their credit cards. And I had the stat last 62 00:03:12,800 --> 00:03:17,320 Speaker 1: week that the largest number of people ever since they've 63 00:03:17,360 --> 00:03:20,360 Speaker 1: been keeping track, we're sixty days or more behind on 64 00:03:20,400 --> 00:03:22,959 Speaker 1: their car payments. There's just lots of stats like that 65 00:03:23,080 --> 00:03:26,160 Speaker 1: out there. Yeah, ooh, you're making me uncomfortable. 66 00:03:26,560 --> 00:03:27,120 Speaker 2: Yikes. 67 00:03:27,520 --> 00:03:31,040 Speaker 1: So over the twelve months that ended last month, price 68 00:03:31,080 --> 00:03:36,160 Speaker 1: of coffee's up twenty one percent, beef is up thirteen 69 00:03:36,280 --> 00:03:39,560 Speaker 1: ground beef up thirteen percent, bananas up six and a 70 00:03:39,600 --> 00:03:43,400 Speaker 1: half percent. Haven't banana's been like skyrocketing in price now 71 00:03:43,440 --> 00:03:44,000 Speaker 1: for a couple. 72 00:03:43,880 --> 00:03:45,960 Speaker 2: Of years, I must admit with bananas. 73 00:03:46,200 --> 00:03:48,600 Speaker 4: I buy bananas regularly, but I don't do not pay 74 00:03:48,640 --> 00:03:50,680 Speaker 4: any attention to what they cost. I have no idea, 75 00:03:50,720 --> 00:03:53,080 Speaker 4: which man, I haven't got the slightest idea. What that 76 00:03:53,240 --> 00:03:56,600 Speaker 4: handful of bananas I buy costs? Well, I got to 77 00:03:56,640 --> 00:03:58,800 Speaker 4: plant a couple of banana plants. What do they grow on? 78 00:03:58,840 --> 00:04:01,280 Speaker 4: Trees or something? Right, maybe in the same room I 79 00:04:01,360 --> 00:04:08,560 Speaker 4: keep my cat. You're gonna have coffee beans and probably 80 00:04:09,000 --> 00:04:12,520 Speaker 4: some young brown skinned person to harvest them, and cow, 81 00:04:12,760 --> 00:04:17,080 Speaker 4: but probably a banana tree or bush whatever hoever they grow, 82 00:04:18,040 --> 00:04:19,080 Speaker 4: take ka of the stables. 83 00:04:19,320 --> 00:04:21,960 Speaker 2: That's right, That's a good idea. 84 00:04:22,320 --> 00:04:25,520 Speaker 1: I hope my wife is listening, because I'm sure there's 85 00:04:25,600 --> 00:04:28,480 Speaker 1: gonna be a long conversation about my plan. But anyway, 86 00:04:28,480 --> 00:04:30,440 Speaker 1: I don't want to scare everybody to death. I promised 87 00:04:30,440 --> 00:04:34,200 Speaker 1: that we would pay off Brian, the plucky correspondent who 88 00:04:34,279 --> 00:04:38,800 Speaker 1: sent a positive story and challenged me to find a downside, 89 00:04:39,640 --> 00:04:43,080 Speaker 1: and I'm not going to just because I'm so interested 90 00:04:43,160 --> 00:04:46,240 Speaker 1: in it. There are a number of different holes and 91 00:04:46,279 --> 00:04:50,960 Speaker 1: reports that make it clear that trans identification is in 92 00:04:51,160 --> 00:04:52,960 Speaker 1: freefall among young people. 93 00:04:54,240 --> 00:04:58,880 Speaker 4: Interesting down to the various trends interesting. 94 00:04:59,480 --> 00:05:02,159 Speaker 1: Great news for young people, great news for parents, Terrible 95 00:05:02,160 --> 00:05:04,520 Speaker 1: news for the doctors who had begun to profit from 96 00:05:04,520 --> 00:05:08,560 Speaker 1: this madness. Let's see, here's one to count. Data from 97 00:05:08,720 --> 00:05:11,880 Speaker 1: the new Center for Heterodox Social Science report the Decline 98 00:05:11,880 --> 00:05:14,680 Speaker 1: of trans and queer identity among young Americans shows that 99 00:05:14,720 --> 00:05:17,840 Speaker 1: since twenty twenty three, both trans and queer identification. Of course, 100 00:05:17,920 --> 00:05:20,680 Speaker 1: queer just means I'm fighting against the man. Look at me, 101 00:05:20,760 --> 00:05:23,080 Speaker 1: I'm cool, so it really doesn't mean anything. But they 102 00:05:23,200 --> 00:05:28,120 Speaker 1: both dropped sharply within Generation X. The Foundation for Individual 103 00:05:28,200 --> 00:05:31,400 Speaker 1: Rights and Expression FIRE, which conducts a large annual survey 104 00:05:31,480 --> 00:05:36,040 Speaker 1: of US undergrads, pulled over sixty thousand students, and the 105 00:05:36,080 --> 00:05:39,159 Speaker 1: analysis of the raw data shows that in that year 106 00:05:40,120 --> 00:05:43,040 Speaker 1: just three and a half percent of respondents identified as 107 00:05:43,279 --> 00:05:47,920 Speaker 1: a gender other than male or female. By comparison, last year, 108 00:05:47,960 --> 00:05:49,480 Speaker 1: it was not three and a half, it was five 109 00:05:49,560 --> 00:05:52,560 Speaker 1: point two, and in twenty twenty two and twenty twenty 110 00:05:52,600 --> 00:05:55,039 Speaker 1: three it was six point eight. In other words, the 111 00:05:55,080 --> 00:05:58,440 Speaker 1: share of trans identified students has effectively have in just 112 00:05:58,560 --> 00:06:07,120 Speaker 1: two years. That is amazing and not surprising. Right, it 113 00:06:07,160 --> 00:06:10,159 Speaker 1: was a social contagion. There's more, actually, but yeah, it 114 00:06:10,200 --> 00:06:15,880 Speaker 1: was absolutely a social contagion, largely among impressionable adolescent females. 115 00:06:16,360 --> 00:06:20,320 Speaker 1: Here's another survey in twenty twenty three. Nine plot was 116 00:06:20,360 --> 00:06:22,680 Speaker 1: not nine point two. You know what, I had this 117 00:06:22,800 --> 00:06:24,880 Speaker 1: rule that I came up with that neither one of 118 00:06:24,960 --> 00:06:25,560 Speaker 1: us ever does. 119 00:06:26,360 --> 00:06:27,040 Speaker 2: But it's handy. 120 00:06:27,360 --> 00:06:29,960 Speaker 1: Tell me what the stat is before you tell me 121 00:06:30,040 --> 00:06:31,600 Speaker 1: the number, right. 122 00:06:31,440 --> 00:06:32,400 Speaker 2: Ye are we talking about? 123 00:06:32,400 --> 00:06:36,760 Speaker 1: And you can't comprehend the significance of the number, and 124 00:06:36,800 --> 00:06:39,480 Speaker 1: then when you hear the topic, you think, oh yeah, 125 00:06:39,520 --> 00:06:40,240 Speaker 1: what was that number? 126 00:06:40,279 --> 00:06:40,440 Speaker 2: Now? 127 00:06:41,600 --> 00:06:45,880 Speaker 1: Anyway, they polled students at a big school in Boston, 128 00:06:46,279 --> 00:06:49,520 Speaker 1: and nine point two percent of them identified as neither 129 00:06:49,640 --> 00:06:51,160 Speaker 1: male nor female. 130 00:06:51,160 --> 00:06:54,840 Speaker 2: That number sits at almost one in ten. That's crack. 131 00:06:55,040 --> 00:06:59,880 Speaker 1: One in ten adults said I'm neither male nor female. 132 00:07:00,120 --> 00:07:04,680 Speaker 2: I'm students. That is unbelievable, right right? 133 00:07:05,040 --> 00:07:07,520 Speaker 1: That number that was nine point two percent is now 134 00:07:07,920 --> 00:07:12,000 Speaker 1: three percent. Brown University saw similar numbers, going from five 135 00:07:12,040 --> 00:07:15,840 Speaker 1: percent to just two point six percent in a year. 136 00:07:17,440 --> 00:07:20,600 Speaker 1: Not surprising. What's the correct number? It should be close 137 00:07:20,640 --> 00:07:27,800 Speaker 1: to zero, shouldn't it. Uh? Yes, yeah, But you know, 138 00:07:27,920 --> 00:07:30,640 Speaker 1: I think a significant chunk of that very small number 139 00:07:30,680 --> 00:07:34,520 Speaker 1: is hardcore activists who are going down with the sinking ship. Yeah, 140 00:07:34,560 --> 00:07:38,360 Speaker 1: you're super hardcore queer theory, you know, critical theory types. 141 00:07:38,920 --> 00:07:39,720 Speaker 2: How about this? 142 00:07:39,720 --> 00:07:43,560 Speaker 1: This is utterly, utterly unsurprising and at the risk of 143 00:07:43,600 --> 00:07:46,560 Speaker 1: wrenching my shoulder, patting myself and you and everybody listening 144 00:07:46,600 --> 00:07:48,920 Speaker 1: on the back, this is precisely what we. 145 00:07:48,920 --> 00:07:49,679 Speaker 2: Knew would happened. 146 00:07:50,080 --> 00:07:55,120 Speaker 1: Non Conforming, sexual identity, queer questioning, all that stuff is 147 00:07:55,160 --> 00:08:00,400 Speaker 1: in sharp decline. Gay and lesbian are stable because people 148 00:08:00,480 --> 00:08:02,800 Speaker 1: know they're gay. They were gay five years ago, they're 149 00:08:02,840 --> 00:08:06,960 Speaker 1: gay now. It's it wasn't hot like non conforming was. 150 00:08:07,400 --> 00:08:12,280 Speaker 1: And heterosexuality has rebounded by around ten points since twenty 151 00:08:12,360 --> 00:08:13,000 Speaker 1: twenty three. 152 00:08:15,000 --> 00:08:18,080 Speaker 4: Man, we are going to look back on the three 153 00:08:18,120 --> 00:08:22,080 Speaker 4: to five year period as and wonder how did that 154 00:08:22,120 --> 00:08:22,640 Speaker 4: ever happen? 155 00:08:23,520 --> 00:08:26,440 Speaker 1: Just call it the madness. I don't know. There are 156 00:08:26,440 --> 00:08:27,360 Speaker 1: more status kind. 157 00:08:27,560 --> 00:08:28,040 Speaker 2: It's funny. 158 00:08:28,040 --> 00:08:30,120 Speaker 4: Somebody texted me the other day who was reading about 159 00:08:30,120 --> 00:08:33,840 Speaker 4: the Salem witch trials, and they're explaining how that contagion 160 00:08:33,920 --> 00:08:36,720 Speaker 4: caught on. If you've never read about it, it's very interesting. 161 00:08:36,760 --> 00:08:38,079 Speaker 4: And I said, that sounds a lot like the old 162 00:08:38,160 --> 00:08:42,160 Speaker 4: trans thing, right, And it was similar in that it 163 00:08:42,200 --> 00:08:45,760 Speaker 4: was a lot of younger women who were struggling with 164 00:08:45,800 --> 00:08:52,439 Speaker 4: whatever and wanted to present as a witch and get 165 00:08:52,440 --> 00:08:56,920 Speaker 4: their parents all worked up or a witch victim. So 166 00:08:57,200 --> 00:09:01,520 Speaker 4: and you know, it's incredibly frustrating, and I know a 167 00:09:01,559 --> 00:09:04,760 Speaker 4: lot of you good people share this. This frustration is 168 00:09:05,080 --> 00:09:07,040 Speaker 4: you know, like I'm trying to think of another trend 169 00:09:07,120 --> 00:09:10,160 Speaker 4: or craze, like the shoes, the high dollar. 170 00:09:11,600 --> 00:09:15,520 Speaker 1: What do you call them, tennis shoes, sneakers, whatever. It's 171 00:09:15,760 --> 00:09:20,400 Speaker 1: if all the alphabet news networks were reporting as fact 172 00:09:20,600 --> 00:09:24,840 Speaker 1: these shoes are the coolest shoes ever, as if it's 173 00:09:25,040 --> 00:09:26,800 Speaker 1: scientifically unquestionable. 174 00:09:27,000 --> 00:09:28,679 Speaker 2: No, no, not, It's just a craze. 175 00:09:28,760 --> 00:09:31,440 Speaker 1: It's something the kids are into and you shouldn't be, 176 00:09:32,200 --> 00:09:34,720 Speaker 1: you know, mortgaging your house to buy them shoes, and 177 00:09:34,760 --> 00:09:36,840 Speaker 1: you shouldn't be taking them to the gender clinic to 178 00:09:36,840 --> 00:09:38,480 Speaker 1: get pump full of chemicals and. 179 00:09:38,400 --> 00:09:39,200 Speaker 2: Get carved up. 180 00:09:39,320 --> 00:09:45,480 Speaker 1: And my heart breaks for the parents who got blackmailed, terrorized, 181 00:09:45,640 --> 00:09:51,040 Speaker 1: forced into you know, pushing their kid along in their 182 00:09:51,240 --> 00:09:56,840 Speaker 1: temporary mental you know, struggles about gender and now have 183 00:09:56,920 --> 00:09:59,400 Speaker 1: done irreversible things to their children. 184 00:10:00,280 --> 00:10:02,480 Speaker 4: My heartbreaks for them. We're clearly on the other side 185 00:10:02,480 --> 00:10:04,720 Speaker 4: of the peak of this. But as you keep pointing out, 186 00:10:04,760 --> 00:10:07,400 Speaker 4: it's pretty lodged in certain parts of the country, and 187 00:10:07,400 --> 00:10:09,120 Speaker 4: then you got a bunch of young people who grew 188 00:10:09,200 --> 00:10:10,680 Speaker 4: up with it. It's going to be pretty hard to 189 00:10:10,679 --> 00:10:14,120 Speaker 4: turn them around at this point. As we had this 190 00:10:14,200 --> 00:10:18,200 Speaker 4: story yesterday out all Washington with the poor girl that 191 00:10:18,360 --> 00:10:23,640 Speaker 4: was expected to compete against an adult man in JV 192 00:10:23,840 --> 00:10:27,760 Speaker 4: high school basketball, right right, and then when she said no, 193 00:10:27,840 --> 00:10:29,480 Speaker 4: because that's a man, she was the one who was 194 00:10:29,520 --> 00:10:32,440 Speaker 4: in trouble for being a bigot and a bully. One 195 00:10:32,520 --> 00:10:36,839 Speaker 4: more interesting set of stats. What explains all of this? 196 00:10:37,720 --> 00:10:39,720 Speaker 1: Eric Kaufman, who's writing about it, says it's not because 197 00:10:39,720 --> 00:10:42,800 Speaker 1: the kids became less woke, more religious, and more conservative. 198 00:10:43,040 --> 00:10:46,240 Speaker 1: Those beliefs seem to have remained stable throughout the twenty twenties. 199 00:10:46,559 --> 00:10:50,760 Speaker 1: Is it improved mental health? Yes, in part, less anxious 200 00:10:50,800 --> 00:10:54,400 Speaker 1: and especially less depressed students are linked with a smaller 201 00:10:54,440 --> 00:10:57,319 Speaker 1: share identifying as trans, queer or bisexual. 202 00:10:58,800 --> 00:11:00,840 Speaker 2: Incredible. Yeah. 203 00:11:01,400 --> 00:11:05,240 Speaker 1: Yeah, And the vast majority of the media and all 204 00:11:05,280 --> 00:11:07,440 Speaker 1: of our educational complexial virtually all of it. 205 00:11:08,080 --> 00:11:09,079 Speaker 2: We're supporting. 206 00:11:09,120 --> 00:11:15,160 Speaker 1: This is absolute, undebatable scientific fact. And anybody who debated 207 00:11:15,200 --> 00:11:18,280 Speaker 1: a single aspect of it was a hater and a transphobe. 208 00:11:18,280 --> 00:11:21,840 Speaker 1: And going to cause suicides, including our major medical associations, 209 00:11:21,880 --> 00:11:24,840 Speaker 1: which ought to be torn down and rebuilt again if 210 00:11:24,880 --> 00:11:26,120 Speaker 1: there's any need to have them. 211 00:11:26,240 --> 00:11:28,480 Speaker 4: We out Europe to Europe on this whole topic for 212 00:11:28,520 --> 00:11:29,080 Speaker 4: whatever reason. 213 00:11:29,080 --> 00:11:32,480 Speaker 1: Oh yeah, yeah, Europe threw it into reverse and stomped 214 00:11:32,520 --> 00:11:34,320 Speaker 1: on the gas several years back. 215 00:11:35,679 --> 00:11:37,840 Speaker 4: Having a lot of fun yesterday with a new AI 216 00:11:37,920 --> 00:11:40,800 Speaker 4: tool that landed that I highly recommend. I'll tell you 217 00:11:40,840 --> 00:11:43,400 Speaker 4: about that coming up, among other things in the news. 218 00:11:43,440 --> 00:11:48,760 Speaker 4: Stay tuned, had. 219 00:11:48,600 --> 00:11:53,080 Speaker 1: A swing at a mess and Yoshi Yamamoto with his 220 00:11:53,280 --> 00:11:55,800 Speaker 1: crown jewel as a Dodger. 221 00:11:56,920 --> 00:11:58,480 Speaker 2: It is a complete game. 222 00:11:59,040 --> 00:12:01,040 Speaker 4: Wow, you don't see that very much in Major League 223 00:12:01,080 --> 00:12:03,880 Speaker 4: Baseball anymore. They brought that guy over from Japan, just 224 00:12:03,920 --> 00:12:07,920 Speaker 4: like they brought over, you know, so many stars over 225 00:12:07,920 --> 00:12:10,560 Speaker 4: the years. And he threw a complete game last night. 226 00:12:10,559 --> 00:12:12,640 Speaker 4: And the Dodgers are up to nothing, and now they 227 00:12:12,679 --> 00:12:15,840 Speaker 4: come back to Los Angeles, So there you go. Might 228 00:12:15,880 --> 00:12:18,480 Speaker 4: be Dodgers Mariners who are up to nothing. The interesting 229 00:12:18,480 --> 00:12:21,200 Speaker 4: part about that is the Dodgers have the highest payroll 230 00:12:21,400 --> 00:12:25,800 Speaker 4: in baseball and the Mariners are less than half of 231 00:12:25,800 --> 00:12:27,840 Speaker 4: the Dodgers' salary. 232 00:12:28,000 --> 00:12:30,000 Speaker 2: So if you're like my story, that would be a 233 00:12:30,000 --> 00:12:30,439 Speaker 2: good one. 234 00:12:30,920 --> 00:12:33,040 Speaker 1: Find myself wondering what the pitch count was because I 235 00:12:33,040 --> 00:12:34,920 Speaker 1: love the idea of a complete game so much I 236 00:12:34,960 --> 00:12:39,320 Speaker 1: can't believe my ears. So before we get to Alec 237 00:12:40,400 --> 00:12:45,200 Speaker 1: non alcoholic wines for your pets, which is a hilarious idea, 238 00:12:45,760 --> 00:12:46,280 Speaker 1: I wanted to. 239 00:12:46,280 --> 00:12:49,360 Speaker 4: Tell you about this. So Grock is one of the 240 00:12:49,400 --> 00:12:51,960 Speaker 4: AI apps you can get out there. I just have 241 00:12:52,000 --> 00:12:53,560 Speaker 4: it on my phone as an app, and it's I'm 242 00:12:53,760 --> 00:12:57,800 Speaker 4: using the free version and like Chat, GPT or you know, 243 00:12:57,920 --> 00:12:59,720 Speaker 4: any of them, Clawed, any of them that you're using. 244 00:12:59,720 --> 00:13:03,240 Speaker 4: But I have Grok that's Elon's and they launched their 245 00:13:03,360 --> 00:13:06,760 Speaker 4: new video thing yesterday in which you can take any 246 00:13:06,840 --> 00:13:09,760 Speaker 4: image and give it to Groc and it will put 247 00:13:09,760 --> 00:13:12,440 Speaker 4: it in motion. And I started messing around with that 248 00:13:12,559 --> 00:13:14,560 Speaker 4: and we had so much fun with that at my 249 00:13:14,600 --> 00:13:17,760 Speaker 4: house yesterday. I highly recommend it. You take an old 250 00:13:17,800 --> 00:13:20,760 Speaker 4: family picture of all of you standing up against a 251 00:13:20,760 --> 00:13:22,400 Speaker 4: wall with a smile on your face and give it 252 00:13:22,400 --> 00:13:24,560 Speaker 4: to Groc and tell it what to do, and you 253 00:13:24,640 --> 00:13:26,920 Speaker 4: have your whole family all of a sudden in a fight. 254 00:13:28,320 --> 00:13:31,280 Speaker 2: Or dance, write or whatever. It's hilarious. 255 00:13:31,559 --> 00:13:33,520 Speaker 1: That's so funny. A friend of mine brought this up 256 00:13:33,520 --> 00:13:35,040 Speaker 1: to me yesterday. It was the first time I knew 257 00:13:35,080 --> 00:13:38,319 Speaker 1: it existed. They'd just done a little wine trip to 258 00:13:38,400 --> 00:13:40,800 Speaker 1: Napa with some friends and had a picture of themselves 259 00:13:40,840 --> 00:13:46,079 Speaker 1: in one of the wine cellar areas, and they animated 260 00:13:46,160 --> 00:13:49,320 Speaker 1: it so that they did like an acrobat act, and 261 00:13:49,360 --> 00:13:51,679 Speaker 1: the gals jumped up on the guy's shoulders. 262 00:13:51,320 --> 00:13:53,920 Speaker 2: And they formed a pyramid. I'm like, wait, what. 263 00:13:53,960 --> 00:13:56,600 Speaker 4: Well, And you know, it depends on the personalities of 264 00:13:56,640 --> 00:13:58,320 Speaker 4: your family members and all that sort of stuff. But 265 00:13:58,360 --> 00:14:00,840 Speaker 4: like my younger brother, who is this always because stoic 266 00:14:00,880 --> 00:14:04,800 Speaker 4: can be. We had a video of him dancing around that. 267 00:14:05,000 --> 00:14:06,199 Speaker 2: Was just so funny. 268 00:14:06,320 --> 00:14:09,960 Speaker 4: We're sending around to every family member, his daughter, cousins, everyone, 269 00:14:10,080 --> 00:14:11,079 Speaker 4: everybody was loving. 270 00:14:11,080 --> 00:14:12,640 Speaker 2: And it's just it's effortless to do. 271 00:14:13,320 --> 00:14:16,000 Speaker 4: And I started going back through It's also can be 272 00:14:16,160 --> 00:14:20,080 Speaker 4: really like emotionally touching. You can go back to pictures 273 00:14:20,120 --> 00:14:23,880 Speaker 4: from many, many years ago, and you take a still 274 00:14:23,920 --> 00:14:25,320 Speaker 4: photo and you put it in there, and then all 275 00:14:25,320 --> 00:14:27,840 Speaker 4: of a sudden they're smiling and waving to you and stuff, 276 00:14:27,880 --> 00:14:30,760 Speaker 4: and it's like, whoa, it's in mind. 277 00:14:30,560 --> 00:14:35,400 Speaker 1: Blowing gosh, I've got to do that. Oh man, how 278 00:14:35,480 --> 00:14:38,720 Speaker 1: I'd love to see my mom because we didn't. I 279 00:14:38,720 --> 00:14:40,680 Speaker 1: got to go back to some of the family videos. 280 00:14:40,680 --> 00:14:44,240 Speaker 1: We don't have all that much, and yeah, that'd be great, Wow, amazing. 281 00:14:45,040 --> 00:14:47,600 Speaker 1: But the silliness is just hilarious. 282 00:14:47,720 --> 00:14:48,440 Speaker 2: It is great. 283 00:14:49,280 --> 00:14:52,520 Speaker 4: It is great, and I did it with we at 284 00:14:52,520 --> 00:14:55,400 Speaker 4: the radio station party we had a couple of weeks ago. 285 00:14:55,440 --> 00:14:57,120 Speaker 4: I took the big photo we took and had us 286 00:14:57,120 --> 00:14:59,080 Speaker 4: all I don't know what we were doing, got into 287 00:14:59,120 --> 00:15:02,880 Speaker 4: a fight or something like, but it's just it's it's 288 00:15:03,080 --> 00:15:05,480 Speaker 4: the technology where it is right now. 289 00:15:05,600 --> 00:15:06,960 Speaker 2: I mean for free. 290 00:15:07,520 --> 00:15:09,880 Speaker 4: If somebody wanted to spend money and time and had 291 00:15:09,920 --> 00:15:12,320 Speaker 4: talent on it, obviously you could get any video to 292 00:15:12,360 --> 00:15:13,320 Speaker 4: occur that you want. 293 00:15:13,440 --> 00:15:16,440 Speaker 1: Is as we all write, so right we are in 294 00:15:16,600 --> 00:15:19,560 Speaker 1: a post. I have to see it to believe it. 295 00:15:19,720 --> 00:15:21,800 Speaker 1: World I'd say it doesn't he any good. 296 00:15:22,560 --> 00:15:24,720 Speaker 4: So I'll just read this as it's written here in 297 00:15:24,760 --> 00:15:27,480 Speaker 4: the Dispatch newsletter. If you have a beloved dog or 298 00:15:27,560 --> 00:15:30,640 Speaker 4: cat and more money than since, here's the good news. 299 00:15:30,960 --> 00:15:34,360 Speaker 4: A New Zealand wine company now sells you might like this, Katie, 300 00:15:34,360 --> 00:15:36,280 Speaker 4: I know how much you like your dog now sells 301 00:15:36,440 --> 00:15:41,840 Speaker 4: non alcoholic wine for the pets. The bottles have names 302 00:15:41,880 --> 00:15:47,240 Speaker 4: like shampon, champagne spelled with the paw per, I get it, 303 00:15:47,280 --> 00:15:50,400 Speaker 4: per nor nor, I don't know how you pronounce all 304 00:15:50,440 --> 00:15:57,480 Speaker 4: lines seven yon bark, that's cute, and other names. 305 00:15:58,520 --> 00:15:59,200 Speaker 2: I don't sure. 306 00:15:59,480 --> 00:16:03,160 Speaker 4: Why is it juice? I don't understand if it's non 307 00:16:03,080 --> 00:16:06,600 Speaker 4: alcoholic wine. Yeah, I assume it's either just juice or 308 00:16:06,760 --> 00:16:07,240 Speaker 4: or water. 309 00:16:07,360 --> 00:16:11,040 Speaker 1: Katie, you wouldn't understand because you're not sophisticated. When Judy 310 00:16:11,080 --> 00:16:14,360 Speaker 1: and I are tasting fine wines, baxters looking up at 311 00:16:14,440 --> 00:16:16,600 Speaker 1: us with his sad eyes, wishing that he could be 312 00:16:16,640 --> 00:16:19,120 Speaker 1: a part of it. And now he can be, thanks 313 00:16:19,120 --> 00:16:24,720 Speaker 1: to more money than sense wines from New Zealand. Ah, 314 00:16:25,000 --> 00:16:27,160 Speaker 1: you know, and getting back to the Grock video thing. 315 00:16:27,280 --> 00:16:30,440 Speaker 1: My uh, Henry, my thirteen year old, was taking pictures 316 00:16:30,480 --> 00:16:32,000 Speaker 1: of our dog and making him talk. 317 00:16:31,800 --> 00:16:32,760 Speaker 2: And that was pretty funny. 318 00:16:33,120 --> 00:16:34,760 Speaker 4: You can just take a picture of your dog and 319 00:16:34,840 --> 00:16:38,160 Speaker 4: have it say anything you want. It's pretty hilarious. 320 00:16:38,880 --> 00:16:39,480 Speaker 2: There you go. 321 00:16:39,760 --> 00:16:44,000 Speaker 1: Since time immemorial that the talking dog has been like 322 00:16:44,120 --> 00:16:46,760 Speaker 1: the symbol of something that can't happen. 323 00:16:47,960 --> 00:16:49,040 Speaker 2: Yeah, and now it can. 324 00:16:49,320 --> 00:16:55,960 Speaker 4: Trump threatened Hummas yesterday. We will disarm you if you 325 00:16:56,000 --> 00:16:59,160 Speaker 4: do not disarm who's we in this question? Is a 326 00:16:59,160 --> 00:17:00,920 Speaker 4: good is a good thing to take a look at? 327 00:17:01,120 --> 00:17:04,760 Speaker 4: Among other things. We can get to next hour seven 328 00:17:04,840 --> 00:17:06,200 Speaker 4: Yon bark you see, it's a pun. 329 00:17:06,240 --> 00:17:09,239 Speaker 2: It's kind of a po like Savignon Blanc but with 330 00:17:09,320 --> 00:17:12,080 Speaker 2: the reference. Yeah. 331 00:17:12,200 --> 00:17:14,200 Speaker 4: If you misses like me, get the podcast Armstrong and 332 00:17:14,280 --> 00:17:15,119 Speaker 4: Getty on demand. 333 00:17:16,600 --> 00:17:18,120 Speaker 1: Armstrong and Getty. 334 00:17:19,480 --> 00:17:24,000 Speaker 4: In the world of the chattering classes that usually lean left. 335 00:17:24,200 --> 00:17:26,240 Speaker 4: Tom Friedman in the New York Times is a highly 336 00:17:26,320 --> 00:17:30,640 Speaker 4: respected columnist about all things Middle East. His praise of 337 00:17:30,680 --> 00:17:34,080 Speaker 4: what Trump has accomplished an optimism for how this is 338 00:17:34,119 --> 00:17:37,400 Speaker 4: going to turn out, is quite amazing and striking, even 339 00:17:37,440 --> 00:17:39,240 Speaker 4: with what's happened in the last twenty four hours. We'll 340 00:17:39,240 --> 00:17:42,000 Speaker 4: get into that summon hour three of the Armstrong and 341 00:17:42,040 --> 00:17:42,600 Speaker 4: Getty show. 342 00:17:43,520 --> 00:17:45,919 Speaker 1: Yeah, all sorts of interesting developments on that front. So 343 00:17:46,000 --> 00:17:47,600 Speaker 1: looking forward to that. I hope you can stick around. 344 00:17:47,600 --> 00:17:49,600 Speaker 1: If you can't, just subscribe to the podcast Armstrong and 345 00:17:49,640 --> 00:17:50,600 Speaker 1: Getdy on demand. 346 00:17:51,160 --> 00:17:56,320 Speaker 2: So what you're about to hear is the fabulously. 347 00:17:56,040 --> 00:18:00,199 Speaker 1: Lame former vice presidential candidate mister Wallas have ben so 348 00:18:00,240 --> 00:18:05,680 Speaker 1: to excuse me, uh, celebrating the signing of the licenses 349 00:18:05,720 --> 00:18:09,920 Speaker 1: for all act in Woke, Minnesota, and then it will 350 00:18:09,960 --> 00:18:13,359 Speaker 1: transition to a hearing before one of the committees. They're 351 00:18:13,359 --> 00:18:16,479 Speaker 1: at their state house where a Republican is asking some 352 00:18:16,680 --> 00:18:20,919 Speaker 1: very appropriate questions and holy cow, the answers hit it. 353 00:18:20,960 --> 00:18:23,439 Speaker 5: Michael, Okay, So the answer to my question is yes, 354 00:18:23,880 --> 00:18:26,640 Speaker 5: under that scenario, whoa. 355 00:18:26,520 --> 00:18:30,000 Speaker 2: Whoa, whoa, whoa whoa whoa, whoa whoa? Did somebody edit 356 00:18:30,040 --> 00:18:32,240 Speaker 2: that or what? Okay? 357 00:18:32,280 --> 00:18:34,520 Speaker 1: All right, never mind, so we don't get the walls 358 00:18:34,520 --> 00:18:36,960 Speaker 1: part of it, No problem, this is a right to 359 00:18:37,000 --> 00:18:38,480 Speaker 1: the hearing, go ahead, okay. 360 00:18:38,480 --> 00:18:41,600 Speaker 5: So the answer to my question is yes, under that scenario, 361 00:18:43,640 --> 00:18:47,480 Speaker 5: someone could they get their driver's license again, because we 362 00:18:47,520 --> 00:18:51,399 Speaker 5: give them to anybody here they registered a vote, it 363 00:18:51,400 --> 00:18:54,119 Speaker 5: doesn't match with the solid security numbers, so they're flagged. 364 00:18:54,400 --> 00:18:56,159 Speaker 5: But they come in as long as they have an 365 00:18:56,200 --> 00:19:00,159 Speaker 5: ID which is that driver's license, and they sign that 366 00:19:00,200 --> 00:19:05,840 Speaker 5: they're eligible to vote, they can vote and then no 367 00:19:05,920 --> 00:19:08,920 Speaker 5: longer flagged, they're on the system. 368 00:19:09,080 --> 00:19:11,399 Speaker 2: Is that correct, mister. 369 00:19:11,200 --> 00:19:15,240 Speaker 6: Leanl Madam chair, if I could add the and maybe 370 00:19:15,440 --> 00:19:18,200 Speaker 6: stepping back from those that are flagged as a CID 371 00:19:18,359 --> 00:19:23,640 Speaker 6: on the roster for anyone that's presenting documentation to register 372 00:19:23,720 --> 00:19:27,400 Speaker 6: to vote, that is affirmation of their identity. The driver's 373 00:19:27,440 --> 00:19:30,199 Speaker 6: license has not been used as proof of citizenship for 374 00:19:30,240 --> 00:19:33,240 Speaker 6: the purposes of registering to vote. It's it's affirming that 375 00:19:33,320 --> 00:19:36,200 Speaker 6: they are who they say they are, so in any 376 00:19:36,240 --> 00:19:39,520 Speaker 6: of these cases where someone were to cast a ballot 377 00:19:39,520 --> 00:19:43,320 Speaker 6: if they were ineligible to vote. There are also reports 378 00:19:43,359 --> 00:19:47,160 Speaker 6: that are generated post election for voters that are challenged 379 00:19:47,440 --> 00:19:49,959 Speaker 6: that counties will run to show status of voters that 380 00:19:50,000 --> 00:19:52,480 Speaker 6: have been updated due to the fact that they've now 381 00:19:52,520 --> 00:19:54,520 Speaker 6: cast a ballot that can be reviewed and referred to 382 00:19:54,520 --> 00:19:55,400 Speaker 6: the county attorney. 383 00:19:56,960 --> 00:19:59,000 Speaker 5: Okay, so the answer is yes to my question. 384 00:20:00,600 --> 00:20:02,960 Speaker 1: Yeah, that's funny. That was not the clip that we 385 00:20:02,960 --> 00:20:06,920 Speaker 1: were kicking around everybody. I'm a little confused, but yeah, 386 00:20:07,040 --> 00:20:10,159 Speaker 1: you can show up, show your driver's license as in 387 00:20:10,200 --> 00:20:12,399 Speaker 1: illegal with a license, and they will let you vote, 388 00:20:12,760 --> 00:20:17,440 Speaker 1: and only if you know in the future. Somebody says, 389 00:20:17,440 --> 00:20:20,320 Speaker 1: wait a minute, that fellow I met him last year 390 00:20:20,400 --> 00:20:23,600 Speaker 1: and he said he's not a citizen and he mentioned voting. 391 00:20:24,080 --> 00:20:30,400 Speaker 2: Will anything be done about it? Do you think that's 392 00:20:30,400 --> 00:20:31,000 Speaker 2: on purpose? 393 00:20:33,880 --> 00:20:36,919 Speaker 1: I think for some activists, yes, it's on purpose. I 394 00:20:36,960 --> 00:20:40,320 Speaker 1: think for others they just have the fuzzy headed, emotional 395 00:20:40,359 --> 00:20:43,280 Speaker 1: thinking of the progressive and they don't know how to 396 00:20:43,320 --> 00:20:44,800 Speaker 1: square that circle, so they don't. 397 00:20:45,400 --> 00:20:47,760 Speaker 2: All they know is that people have a right to drive. 398 00:20:48,119 --> 00:20:50,399 Speaker 4: Because that guy explaining it just seemed like he was 399 00:20:50,480 --> 00:20:53,560 Speaker 4: caught up in the I don't know the bureaucracy of 400 00:20:53,600 --> 00:20:56,200 Speaker 4: the way it works, and I don't know, I don't 401 00:20:56,200 --> 00:20:59,320 Speaker 4: know what is on his mind, how he doesn't recognize 402 00:20:59,320 --> 00:21:00,120 Speaker 4: what he was saying. 403 00:21:00,760 --> 00:21:02,400 Speaker 2: So people can vote then. 404 00:21:02,359 --> 00:21:08,320 Speaker 1: If they're illegal, right, And in another clip he says, well, 405 00:21:08,840 --> 00:21:12,320 Speaker 1: you gotta sign a paper that says I'm eligible to vote, 406 00:21:13,320 --> 00:21:15,760 Speaker 1: so I guess. So that's the fence you have to clear. 407 00:21:15,920 --> 00:21:18,880 Speaker 1: You have to be willing to lie or vote inappropriately. 408 00:21:20,280 --> 00:21:23,800 Speaker 2: You have to sign tell you well, then well yeah, 409 00:21:23,840 --> 00:21:24,320 Speaker 2: and please? 410 00:21:24,320 --> 00:21:26,280 Speaker 1: How easy would it be in a world where the 411 00:21:26,320 --> 00:21:30,639 Speaker 1: Democrats in California, for instance, vote harvest like maniacs, of 412 00:21:30,800 --> 00:21:34,560 Speaker 1: blanketing apartment complexes with ballots, then collecting them helpfully and 413 00:21:34,600 --> 00:21:37,680 Speaker 1: turning them in and and maybe the signatures get checked, 414 00:21:37,680 --> 00:21:39,560 Speaker 1: maybe they don't, et cetera, et cetera. How easy would 415 00:21:39,560 --> 00:21:42,920 Speaker 1: it be to recruit a bunch of recent immigrants whose 416 00:21:43,040 --> 00:21:46,760 Speaker 1: English ain't so bueno and get them to sign it 417 00:21:46,800 --> 00:21:50,440 Speaker 1: and show up and vote in droves, and when was 418 00:21:50,440 --> 00:21:52,879 Speaker 1: the last time anybody got busted for that in Minnesota? 419 00:21:53,280 --> 00:21:56,359 Speaker 1: Which reminds me of the great old lie that the 420 00:21:56,440 --> 00:21:59,560 Speaker 1: the voter fraud is vanishingly small. Yeah, that's because we 421 00:21:59,560 --> 00:22:01,120 Speaker 1: have no chanism to check. 422 00:22:00,920 --> 00:22:04,720 Speaker 2: For it really in a systematic way anyway. 423 00:22:04,840 --> 00:22:07,680 Speaker 1: So yeah, illegals will be voting in Minnesota in a 424 00:22:07,760 --> 00:22:09,960 Speaker 1: election soon to come. And then I thought this was 425 00:22:10,000 --> 00:22:12,840 Speaker 1: an interesting story and kind of related. Supreme Court is 426 00:22:12,880 --> 00:22:18,680 Speaker 1: hearing oral arguments today in that big racial Jerry manderin 427 00:22:18,760 --> 00:22:22,040 Speaker 1: case out of Louisiana, and I came across a great 428 00:22:22,040 --> 00:22:25,800 Speaker 1: opinion piece written by Niki Torres, who is I think 429 00:22:25,840 --> 00:22:29,440 Speaker 1: the first Hispanic woman to represent her district in the 430 00:22:29,600 --> 00:22:37,040 Speaker 1: eastern half of Washington, Washington State, and the district was 431 00:22:37,119 --> 00:22:41,199 Speaker 1: seventy three percent Hispanic, with a Hispanic majority of eligible voters, 432 00:22:41,400 --> 00:22:46,240 Speaker 1: and it leaned Republican well. Democrats in Washington State sued 433 00:22:46,280 --> 00:22:49,159 Speaker 1: a couple of years ago claiming the district cracked the 434 00:22:49,240 --> 00:22:52,920 Speaker 1: Latino vote whatever that means, in violation of Voting Rights 435 00:22:52,960 --> 00:22:55,800 Speaker 1: Act of nineteen sixty five. In November of twenty two, 436 00:22:57,400 --> 00:23:00,240 Speaker 1: she became the first ever elected in the Conserva at 437 00:23:00,280 --> 00:23:03,760 Speaker 1: first Hispanic state senator ever elected in the conservative rural 438 00:23:04,040 --> 00:23:07,040 Speaker 1: of Washington, but a Democrat appointed federal judge ruled in 439 00:23:07,080 --> 00:23:11,000 Speaker 1: flavor in favor of the plaintiffs. They carve that district 440 00:23:11,080 --> 00:23:14,320 Speaker 1: up in a in a really clever way, and now 441 00:23:14,640 --> 00:23:18,480 Speaker 1: it's Democrat. It went from a like half a percent 442 00:23:18,560 --> 00:23:21,679 Speaker 1: or one percent, one point eight percent Republican margin to 443 00:23:21,800 --> 00:23:28,879 Speaker 1: a twelve point Democratic one and absolutely screwed all of 444 00:23:28,920 --> 00:23:32,760 Speaker 1: the conservative leaning Hispanic people in that in that district. 445 00:23:33,000 --> 00:23:36,160 Speaker 1: So anytime a Democrat comes to you and says, yes, 446 00:23:36,240 --> 00:23:39,120 Speaker 1: we want to redraw the lines to ensure racial justice, 447 00:23:39,400 --> 00:23:42,720 Speaker 1: bull crap. They just want to win elections. It's about 448 00:23:42,720 --> 00:23:45,919 Speaker 1: the raw exercise of power as usual, dressed up in 449 00:23:45,960 --> 00:23:50,359 Speaker 1: a moral argument that they don't mean and divrant. So 450 00:23:50,840 --> 00:23:54,959 Speaker 1: Katie brought us this story earlier about how trank is 451 00:23:55,000 --> 00:23:57,280 Speaker 1: still a thing on the streets. The drug which we've 452 00:23:57,320 --> 00:24:00,240 Speaker 1: been talking about for a couple of years. Now, do 453 00:24:00,320 --> 00:24:03,320 Speaker 1: we have that that headline? Yes, I did sentence. 454 00:24:04,600 --> 00:24:05,160 Speaker 2: The headline. 455 00:24:05,280 --> 00:24:08,760 Speaker 4: Here's the headline from the story. Horrifying images show how 456 00:24:08,840 --> 00:24:13,560 Speaker 4: flesh eating zombie drug mummifies addicts and causes their limbs 457 00:24:13,600 --> 00:24:19,040 Speaker 4: to auto amputate, a term I've never amputated term I'd 458 00:24:19,040 --> 00:24:21,359 Speaker 4: never heard before. That would be arms and legs saying 459 00:24:21,480 --> 00:24:23,879 Speaker 4: I'm getting out of the here because you're but it 460 00:24:23,960 --> 00:24:25,480 Speaker 4: gets here really hot poisoning. 461 00:24:25,880 --> 00:24:28,440 Speaker 2: It's like a mister potato head situation. Just pop them off. 462 00:24:28,560 --> 00:24:31,080 Speaker 1: Yeah, I'll read the first sentence here. This is really gross. 463 00:24:31,080 --> 00:24:33,880 Speaker 1: If you're eating mister potato head, can pop them back on. 464 00:24:34,000 --> 00:24:37,280 Speaker 4: Katie good point. This first sentence is super gross. 465 00:24:37,280 --> 00:24:39,359 Speaker 1: So if you're bothered by gross talking, you're about to 466 00:24:39,359 --> 00:24:45,240 Speaker 1: eat this exposed tendons and bones, wounds that attract maggots, 467 00:24:45,440 --> 00:24:47,960 Speaker 1: and a foul smell for dead tissue. 468 00:24:48,280 --> 00:24:49,679 Speaker 2: Oh you didn't lie? 469 00:24:50,080 --> 00:24:53,080 Speaker 1: Is the key that you've got somebody who's doing the trank, 470 00:24:53,560 --> 00:24:56,600 Speaker 1: an illegal sedative often mixed with fentanyl to enhance and 471 00:24:56,640 --> 00:25:01,159 Speaker 1: extend highs. Most recent stud show a lot of it, 472 00:25:01,359 --> 00:25:03,640 Speaker 1: a lot of Even if you think you're like, I'm 473 00:25:03,640 --> 00:25:07,040 Speaker 1: being a responsible drug user, trank that's for weirdos. 474 00:25:07,119 --> 00:25:08,160 Speaker 2: I just do fentanyl. 475 00:25:09,359 --> 00:25:12,720 Speaker 1: Even if you just do fentanyl, thirty percent of fentanyl 476 00:25:12,720 --> 00:25:15,919 Speaker 1: powder has has got trank in it, and six percent 477 00:25:15,920 --> 00:25:17,479 Speaker 1: of fentanyl pills have drank in it. 478 00:25:19,240 --> 00:25:21,880 Speaker 2: What wow wow. 479 00:25:21,920 --> 00:25:25,480 Speaker 1: So if you're intentionally taking fentanyl, it's infected with trank. 480 00:25:25,880 --> 00:25:28,440 Speaker 1: And if you don't think you're taking fentanyl, and the 481 00:25:28,560 --> 00:25:32,400 Speaker 1: excellent candidate for a fatal overdose that fentanyl you don't 482 00:25:32,440 --> 00:25:34,400 Speaker 1: know about is probably a stepped. 483 00:25:34,040 --> 00:25:35,680 Speaker 2: On with trank. Two beautiful. 484 00:25:35,720 --> 00:25:38,440 Speaker 4: So, the most recent numbers they have in Philadelphia, which 485 00:25:38,520 --> 00:25:41,400 Speaker 4: for some reason is ground zero for the trank crisis. 486 00:25:41,440 --> 00:25:42,840 Speaker 2: That's where it caught hold first. 487 00:25:43,680 --> 00:25:46,359 Speaker 4: The most recent numbers they have are from twenty twenty three, 488 00:25:46,560 --> 00:25:47,320 Speaker 4: two years. 489 00:25:47,119 --> 00:25:49,240 Speaker 2: Ago or a year and a half ago, year and 490 00:25:49,280 --> 00:25:50,040 Speaker 2: three quarters ago. 491 00:25:53,080 --> 00:25:58,080 Speaker 1: Of all unintentional overdose deaths, almost forty percent involved trank. 492 00:25:59,040 --> 00:26:02,560 Speaker 4: Almost forty percent. That's amazing anyway. 493 00:26:02,880 --> 00:26:07,080 Speaker 1: Philadelphia orthopedic surgeon warning that the crisis is showing no 494 00:26:07,240 --> 00:26:12,160 Speaker 1: signs of abating, even as it continues to get mixed 495 00:26:12,160 --> 00:26:16,560 Speaker 1: with other drugs and kills lots of people we're seeing 496 00:26:17,320 --> 00:26:20,840 Speaker 1: at the larger university hospitals around Philadelphia, Lots of patients 497 00:26:20,840 --> 00:26:25,560 Speaker 1: with these problems. It's found to cause severe side effects, 498 00:26:25,600 --> 00:26:28,560 Speaker 1: including central nervous system depression, very low blood pressure. 499 00:26:28,600 --> 00:26:30,320 Speaker 4: That's the least of my problems. Well, oh, my blood 500 00:26:30,320 --> 00:26:32,119 Speaker 4: pressure seems kind of low. How about the fact that 501 00:26:32,160 --> 00:26:34,399 Speaker 4: my limbs are self amputating that. It seems like the 502 00:26:34,520 --> 00:26:35,520 Speaker 4: lead to me. 503 00:26:36,400 --> 00:26:38,520 Speaker 1: Like blood pressure where it's not getting from your heart 504 00:26:38,560 --> 00:26:39,920 Speaker 1: to your lungs is a problem. 505 00:26:40,119 --> 00:26:41,520 Speaker 2: Yeah. 506 00:26:41,720 --> 00:26:44,520 Speaker 4: So within a few minutes of injecting this, in case 507 00:26:44,520 --> 00:26:47,479 Speaker 4: you're wondering what it does for you, it releases, It 508 00:26:47,560 --> 00:26:51,959 Speaker 4: relaxes all your muscles, relieves any discomfort you have, and 509 00:26:52,119 --> 00:26:56,439 Speaker 4: triggers a zombie like trance by decreasing your fight or 510 00:26:56,600 --> 00:27:01,359 Speaker 4: flight neurotransmitter system. So your fight or flight thing gets 511 00:27:01,400 --> 00:27:03,399 Speaker 4: turned off. And apparently when you turn that off, you 512 00:27:03,480 --> 00:27:05,840 Speaker 4: just get super relaxed and calm and feel good. 513 00:27:07,640 --> 00:27:10,879 Speaker 1: Right high In other words, Yeah, well they must be 514 00:27:10,920 --> 00:27:13,360 Speaker 1: in a way that other highs aren't though, right, must 515 00:27:13,440 --> 00:27:16,240 Speaker 1: be or somebody who's been doing fentanyl and everything like that. 516 00:27:16,240 --> 00:27:20,040 Speaker 2: What would would bring you to trank? I don't know. 517 00:27:20,160 --> 00:27:22,040 Speaker 1: Some days you get tired of chardonay you want to 518 00:27:22,080 --> 00:27:26,880 Speaker 1: sell on your own bonk. Okay, I'm not a trank addict. Well, 519 00:27:26,920 --> 00:27:28,560 Speaker 1: at least they're not bluetoothing. 520 00:27:28,720 --> 00:27:31,239 Speaker 2: Jack. If you heard about bluetoothing, I have not. 521 00:27:32,160 --> 00:27:34,879 Speaker 4: I can't anything get worse than because it says here 522 00:27:34,880 --> 00:27:37,400 Speaker 4: about the trunk. The worst case is the limbs literally 523 00:27:37,520 --> 00:27:43,960 Speaker 4: auto amputate all of the soft tissue necrosises off the bones, 524 00:27:44,000 --> 00:27:47,360 Speaker 4: and patients will come in essentially mummified on their limbs 525 00:27:47,760 --> 00:27:51,080 Speaker 4: as they're auto amputated before they even get to the 526 00:27:51,280 --> 00:27:59,040 Speaker 4: hospital rooms fall off. Ah huh, sounds like a party anyway. 527 00:27:59,040 --> 00:28:01,080 Speaker 4: What was bluetoothing jack? 528 00:28:01,160 --> 00:28:04,600 Speaker 1: The practice in which users inject the blood of already 529 00:28:04,640 --> 00:28:08,679 Speaker 1: intoxicated individuals, as fueled one of the fastest growing HIV 530 00:28:08,800 --> 00:28:12,320 Speaker 1: epidemics in the Pacific and grown widespread in South Africa. 531 00:28:12,840 --> 00:28:15,399 Speaker 1: So your buddy is high, but you're not, so you 532 00:28:15,440 --> 00:28:17,520 Speaker 1: take a syringe and suck blood out of him and 533 00:28:17,520 --> 00:28:18,680 Speaker 1: inject it into yourself. 534 00:28:18,760 --> 00:28:21,040 Speaker 4: God, how broke are you? From what I understand? Drugs 535 00:28:21,119 --> 00:28:27,720 Speaker 4: or the All these drugs are so cheap, right, um man, 536 00:28:27,760 --> 00:28:29,760 Speaker 4: you're really lazy. 537 00:28:30,640 --> 00:28:31,760 Speaker 2: You're almost passed out, buddy. 538 00:28:31,760 --> 00:28:33,560 Speaker 1: I'm gonna suck some of your blood out put it 539 00:28:33,600 --> 00:28:36,159 Speaker 1: in me so I don't even have to go, you know, uh, 540 00:28:36,520 --> 00:28:40,680 Speaker 1: steal something from the target. I guess this is a 541 00:28:40,720 --> 00:28:43,720 Speaker 1: getting hot in high poverty areas in Africa and Asia, 542 00:28:43,960 --> 00:28:47,680 Speaker 1: driven by tougher policing, spiking prices, and falling drug supplies. 543 00:28:48,320 --> 00:28:51,800 Speaker 4: So wow, um want to tell you a way to 544 00:28:51,840 --> 00:28:54,520 Speaker 4: protect yourself not from trank, but from people trying to 545 00:28:54,680 --> 00:28:57,120 Speaker 4: steal your identity or hack into your computer or do 546 00:28:57,160 --> 00:28:58,160 Speaker 4: all that kind of stuff. 547 00:28:58,640 --> 00:28:59,480 Speaker 2: Uh, you don't want that. 548 00:28:59,480 --> 00:29:02,200 Speaker 4: That's why you want during the cyber Scaries month, you 549 00:29:02,240 --> 00:29:04,840 Speaker 4: want to arm yourself with Webroot Total Protection. 550 00:29:05,520 --> 00:29:05,720 Speaker 2: Yeah. 551 00:29:05,760 --> 00:29:07,360 Speaker 1: It seems like every day there's a new way to 552 00:29:07,360 --> 00:29:11,400 Speaker 1: trick your text, scams, data breaches, so much stuff going on, 553 00:29:11,760 --> 00:29:14,960 Speaker 1: and that's why you need Webroot Total Protection now, which 554 00:29:15,000 --> 00:29:16,720 Speaker 1: includes dark web monitoring. 555 00:29:16,760 --> 00:29:18,440 Speaker 4: I love that they can go on the dark web 556 00:29:18,480 --> 00:29:20,920 Speaker 4: and see if even your information is floating around out there. 557 00:29:21,080 --> 00:29:22,040 Speaker 2: That's a great thing to know. 558 00:29:22,440 --> 00:29:27,960 Speaker 4: Up to a million dollars in expense, reimbursement for stolen funds, secure. 559 00:29:27,720 --> 00:29:32,160 Speaker 1: VPN, unlimited cloud backup. I mean, it's it's everything. It's amazing, 560 00:29:32,440 --> 00:29:36,040 Speaker 1: It runs super fast, is not intrusive like other places 561 00:29:36,160 --> 00:29:39,560 Speaker 1: or other you know services. You're gonna love Webroot and 562 00:29:39,920 --> 00:29:42,600 Speaker 1: you can get sixty percent off Webroot Total Protection right 563 00:29:42,640 --> 00:29:45,920 Speaker 1: now webroot dot com slash Armstrong. That's sixty percent off 564 00:29:45,960 --> 00:29:48,200 Speaker 1: for a limited time, but only when you go to 565 00:29:48,280 --> 00:29:51,680 Speaker 1: webroot dot com slash armstrong. At least check it out. 566 00:29:51,720 --> 00:29:54,560 Speaker 1: Webroot dot com slash Armstrong. 567 00:29:54,720 --> 00:29:57,760 Speaker 4: So has Sam Altman, the guy who runs open ais 568 00:29:57,880 --> 00:30:02,719 Speaker 4: chat gpt, crossed the rubicon on adupe content for AI. 569 00:30:03,320 --> 00:30:06,680 Speaker 4: This may be a day historians look back on things 570 00:30:08,040 --> 00:30:08,840 Speaker 4: the bubacan. 571 00:30:09,160 --> 00:30:16,040 Speaker 2: Huh? Has he crossed the bubacan? Wow? Hey, that is childish. 572 00:30:16,120 --> 00:30:16,760 Speaker 2: I enjoyed it. 573 00:30:17,040 --> 00:30:19,240 Speaker 4: Speaking of childish, we've got an update on something schools 574 00:30:19,280 --> 00:30:21,280 Speaker 4: are banning. Stay tuned all on the way. 575 00:30:22,600 --> 00:30:27,479 Speaker 1: Armstrong and Getty Savanna six seven six seven. 576 00:30:27,600 --> 00:30:29,960 Speaker 7: You've got the toned down anything good morning. You gotta 577 00:30:30,000 --> 00:30:31,960 Speaker 7: do the hand motion with it. So this first went 578 00:30:32,040 --> 00:30:35,040 Speaker 7: viral last year. Here's the thing, though, it really means 579 00:30:35,280 --> 00:30:38,760 Speaker 7: nothing at all. But like most Internet trends, this one 580 00:30:38,800 --> 00:30:42,000 Speaker 7: seems to be sticking around, prompting some teachers to set 581 00:30:42,040 --> 00:30:46,440 Speaker 7: some new rules in the classroom. 582 00:30:46,640 --> 00:30:49,120 Speaker 2: Six seven. I mean kids can't. 583 00:30:48,840 --> 00:30:51,959 Speaker 7: Get enough of and teachers can't get away from. 584 00:30:52,000 --> 00:30:54,680 Speaker 2: We are not saying the word sixty seven anymore. 585 00:30:55,320 --> 00:30:57,480 Speaker 1: If you do, you have to write a sixty seven 586 00:30:57,480 --> 00:30:58,200 Speaker 1: word essay. 587 00:30:58,560 --> 00:31:01,240 Speaker 7: Some schools even banning phrasing classrooms. 588 00:31:01,600 --> 00:31:03,720 Speaker 6: You are no longer allowed to say what number do 589 00:31:03,760 --> 00:31:05,959 Speaker 6: you think I'm gonna say? 590 00:31:06,240 --> 00:31:09,560 Speaker 7: Caitlin Soriano is a seventh grade math teacher, how much 591 00:31:09,600 --> 00:31:15,440 Speaker 7: are you hearing and seeing six seven in here classroom 592 00:31:15,520 --> 00:31:16,840 Speaker 7: all day every day? 593 00:31:17,360 --> 00:31:17,800 Speaker 2: All right? 594 00:31:18,840 --> 00:31:26,160 Speaker 4: I just I just don't know what to do. So 595 00:31:26,280 --> 00:31:28,000 Speaker 4: we talked about this yesterday. I think we got it 596 00:31:28,080 --> 00:31:28,680 Speaker 4: nailed down. 597 00:31:28,880 --> 00:31:34,440 Speaker 1: It's human beings seek common experiences so that we feel 598 00:31:34,440 --> 00:31:36,520 Speaker 1: like we're part of a community, which makes us feel 599 00:31:36,560 --> 00:31:41,160 Speaker 1: protected in our animal brain. We don't have shared experiences 600 00:31:41,160 --> 00:31:43,840 Speaker 1: anymore because nobody watches the same TV shows, listen to 601 00:31:43,880 --> 00:31:48,800 Speaker 1: the same music, blah blah blah. So we've created these 602 00:31:48,880 --> 00:31:54,160 Speaker 1: things that have no meaning or value. But just because 603 00:31:54,320 --> 00:31:56,480 Speaker 1: you know what it means if I say six well 604 00:31:56,520 --> 00:31:59,560 Speaker 1: not what it means, but you've heard it before six seven. 605 00:32:00,600 --> 00:32:02,800 Speaker 1: Now we feel like we're a part of something, and 606 00:32:02,840 --> 00:32:05,080 Speaker 1: it's got a right no more meaning than that. I mean, 607 00:32:05,120 --> 00:32:08,600 Speaker 1: it's both very meaningful and not the least bit meaningful 608 00:32:08,720 --> 00:32:11,000 Speaker 1: at the same right. It's like distilled down to its 609 00:32:11,040 --> 00:32:15,040 Speaker 1: purest essence. It's merely a common experience, not a common 610 00:32:15,080 --> 00:32:19,280 Speaker 1: experience of enjoying a show or seeing a sunset or whatever. No, 611 00:32:19,360 --> 00:32:22,040 Speaker 1: it's just a signal that I know what you're talking about. 612 00:32:22,080 --> 00:32:25,120 Speaker 1: You know what I'm talking about. It's interesting right, and 613 00:32:25,200 --> 00:32:28,080 Speaker 1: I haven't heard anybody, but really you talking about that 614 00:32:28,520 --> 00:32:29,760 Speaker 1: to explain the phenomena. 615 00:32:32,560 --> 00:32:33,040 Speaker 2: It's funny. 616 00:32:33,040 --> 00:32:34,440 Speaker 4: I brought it up to my son last night and 617 00:32:34,480 --> 00:32:36,160 Speaker 4: he said, it's just like skippity and I said, that's 618 00:32:36,160 --> 00:32:39,400 Speaker 4: what I said, skippity toilet from a couple of years ago. 619 00:32:39,520 --> 00:32:43,760 Speaker 4: And uh so there's there's gonna be no putting an 620 00:32:43,880 --> 00:32:46,719 Speaker 4: end to this. Oh we're gonna get young people are 621 00:32:46,720 --> 00:32:49,880 Speaker 4: going to continue to seek out common experiences to bond 622 00:32:49,920 --> 00:32:52,560 Speaker 4: around that are meaningless because they don't have any other 623 00:32:52,600 --> 00:32:53,960 Speaker 4: common experiences to bonder. 624 00:32:54,800 --> 00:32:57,240 Speaker 1: Got a great email from Kathy and Spain as we 625 00:32:57,320 --> 00:33:00,120 Speaker 1: are truly international now you got Bury in Tile and 626 00:33:00,200 --> 00:33:02,320 Speaker 1: people all over the world. 627 00:33:02,520 --> 00:33:07,640 Speaker 2: Thank you for listening wherever, wherever you are. Let's see 628 00:33:07,640 --> 00:33:10,000 Speaker 2: here it is listening to yesterday I talk to foreigners. 629 00:33:10,000 --> 00:33:14,320 Speaker 2: He talked slowly and loudly, very loudly. 630 00:33:14,240 --> 00:33:18,160 Speaker 1: Elish anyway, talking about the lack of shared experience leading 631 00:33:18,160 --> 00:33:21,240 Speaker 1: to the emergence of nonsense memes like six seven Scivity 632 00:33:21,240 --> 00:33:24,120 Speaker 1: and My Kid's Favorite Chick and Jockey could probably be 633 00:33:24,160 --> 00:33:27,800 Speaker 1: applied to adults as well. Jack's point about not having 634 00:33:27,880 --> 00:33:32,040 Speaker 1: a common show to watch it can expand to not 635 00:33:32,120 --> 00:33:34,600 Speaker 1: going to the same church sermon on Sunday and the 636 00:33:34,640 --> 00:33:37,840 Speaker 1: block party on Saturday. And that can certainly explain the 637 00:33:37,840 --> 00:33:41,040 Speaker 1: country's obsession with politics. When I was younger, we never 638 00:33:41,080 --> 00:33:44,480 Speaker 1: discussed politics. We had enough shared experiences to bond over. Now, 639 00:33:44,520 --> 00:33:47,880 Speaker 1: politics are one of the few things about which people 640 00:33:47,920 --> 00:33:49,000 Speaker 1: can connect. 641 00:33:49,200 --> 00:33:53,200 Speaker 4: Yep, that's absolutely true. The Trump TV show is the 642 00:33:53,360 --> 00:33:56,400 Speaker 4: one show everybody's watching, so you can bond around that. 643 00:33:57,040 --> 00:33:57,880 Speaker 2: Right, which is good. 644 00:33:57,920 --> 00:34:01,600 Speaker 1: Other TV shows or movies that are described as polarizing, 645 00:34:01,800 --> 00:34:06,280 Speaker 1: very polarizing, well, politics is by definition polarizing, so our 646 00:34:06,360 --> 00:34:11,080 Speaker 1: only real shared experience is designed to be as polarizing 647 00:34:11,160 --> 00:34:14,319 Speaker 1: as possible. I think we've solved it, We've figured out 648 00:34:14,360 --> 00:34:15,040 Speaker 1: the modern world. 649 00:34:15,120 --> 00:34:18,000 Speaker 4: It's yeah, I agree, we have figured it out and 650 00:34:18,000 --> 00:34:20,880 Speaker 4: solved it. But watching it, it's just so weird because 651 00:34:20,920 --> 00:34:23,520 Speaker 4: I saw the skivity thing in person, where there'd be 652 00:34:23,520 --> 00:34:25,839 Speaker 4: a group of kids like my son and his friend, 653 00:34:25,920 --> 00:34:29,320 Speaker 4: and somebody would just say skivity toilet and everybody would 654 00:34:29,320 --> 00:34:32,759 Speaker 4: burst out laughing. It's like there's nothing, there's no there there. 655 00:34:33,000 --> 00:34:35,000 Speaker 1: And the same thing with the six seven is you 656 00:34:35,120 --> 00:34:37,560 Speaker 1: just saw up there somebody in a classroom just says 657 00:34:37,840 --> 00:34:41,520 Speaker 1: six seven and everybody goes, aha, what are. 658 00:34:41,400 --> 00:34:44,840 Speaker 2: We doing here? Dam is very very odd. 659 00:34:45,040 --> 00:34:49,080 Speaker 4: Again, we've explained it. It's both very meaningful and least 660 00:34:49,120 --> 00:34:52,719 Speaker 4: bit not the least bit meaningful, but oh banning. 661 00:34:52,760 --> 00:34:55,000 Speaker 2: Less from Kathy and Spain Good. 662 00:34:55,360 --> 00:34:59,120 Speaker 1: I mistakenly thought the pandemic pandemic would have a unifying effect, 663 00:34:59,440 --> 00:35:04,360 Speaker 1: but it pushed the country further into Silo's We're screwed. 664 00:35:03,520 --> 00:35:07,640 Speaker 4: We absolutely are an another follow up, because we talked 665 00:35:07,640 --> 00:35:09,680 Speaker 4: about six to seven yesterday follow up. Joe was talking 666 00:35:09,680 --> 00:35:12,400 Speaker 4: about sexpots and all that sort of thing. Sam Altman 667 00:35:12,600 --> 00:35:15,879 Speaker 4: of Chat, GPT and open Ai has said that he's 668 00:35:15,880 --> 00:35:20,040 Speaker 4: gonna allow adult contact on his AI platform, and that 669 00:35:20,160 --> 00:35:22,759 Speaker 4: popped into my head yesterday. I talked earlier about having 670 00:35:22,760 --> 00:35:25,799 Speaker 4: fun with the groc video thing. My brothers and I 671 00:35:25,840 --> 00:35:28,520 Speaker 4: were taking family photos and having Groc turned the videos 672 00:35:28,560 --> 00:35:30,680 Speaker 4: into fun stuff, but you couldn't do anything the least 673 00:35:30,719 --> 00:35:32,719 Speaker 4: bit nasty. I thought it'd be funny to take our 674 00:35:32,800 --> 00:35:35,640 Speaker 4: Christmas family picture and have everybody flipping off the camera, 675 00:35:35,840 --> 00:35:38,120 Speaker 4: I mean my mom flipping off the camera. My brothers 676 00:35:38,120 --> 00:35:39,960 Speaker 4: and I would howl it laughter at that because it 677 00:35:40,040 --> 00:35:42,279 Speaker 4: is so you know, out of character. 678 00:35:42,280 --> 00:35:43,400 Speaker 2: But it wouldn't allow it. 679 00:35:43,440 --> 00:35:45,319 Speaker 4: GROC would not allow that, or a bunch of other 680 00:35:45,360 --> 00:35:49,239 Speaker 4: things I suggested, but Sam Altman at chat GPT, the 681 00:35:49,360 --> 00:35:52,279 Speaker 4: rival is now allowing, gonna allow sexy stuff. So that's 682 00:35:52,360 --> 00:35:54,720 Speaker 4: you know, it'll be another race to the bottom because 683 00:35:55,040 --> 00:35:57,799 Speaker 4: you know Elon can try to hold the line on 684 00:35:57,920 --> 00:35:59,920 Speaker 4: decent content, but his competitors are not. 685 00:36:00,560 --> 00:36:01,800 Speaker 2: A race to the bottom. 686 00:36:01,880 --> 00:36:04,160 Speaker 1: Probably a poor choice of words, but I understand what 687 00:36:04,200 --> 00:36:07,920 Speaker 1: you're saying. I see your point. Yeah, crossed the Bubbacan. 688 00:36:08,000 --> 00:36:08,719 Speaker 1: Did you hear that one? 689 00:36:09,239 --> 00:36:10,120 Speaker 2: Apparently you have. 690 00:36:10,080 --> 00:36:12,040 Speaker 4: To do your hands like this and the tone of 691 00:36:12,120 --> 00:36:14,160 Speaker 4: voice is six seven, And so if you want to 692 00:36:14,160 --> 00:36:15,560 Speaker 4: be cool with a I. 693 00:36:15,520 --> 00:36:18,760 Speaker 2: Don't thirteen year old, then that's what you do. 694 00:36:20,840 --> 00:36:21,960 Speaker 1: Armstrong and Getty